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Myeloperoxidase Inhibition Reverses Biomarker Profiles Associated With Clinical Outcomes in HFpEF




TekijätMichaëlsson Erik, Lund Lars H., Hage Camilla, Shah Sanjiv .J., Voors Adriaan .A., Saraste Antti., Redfors Björn., Grove Erik .L., Barasa Anders., Richards A.Mark., Svedlund Sara., Lagerström-Fermér Maria., Gabrielsen Anders., Garkaviy Pavlo, Gan Li-Ming, Lam Carylon S.P.

KustantajaElsevier Inc.

Julkaisuvuosi2023

JournalJACC: Heart Failure

Tietokannassa oleva lehden nimiJACC: Heart Failure

Vuosikerta11

Numero7

Aloitussivu775

Lopetussivu787

ISSN2213-1779

DOIhttps://doi.org/10.1016/j.jchf.2023.03.002

Verkko-osoitehttps://doi.org/10.1016/j.jchf.2023.03.002

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/180235896


Tiivistelmä

Background: Systemic microvascular dysfunction and inflammation are postulated to play a pathophysiologic role in heart failure with preserved ejection fraction (HFpEF).

Objectives: This study aimed to identify biomarker profiles associated with clinical outcomes in HFpEF and investigate how inhibition of the neutrophil-derived reactive oxygen species-producing enzyme, myeloperoxidase, affects these biomarkers.

Methods: Using supervised principal component analyses, the investigators assessed the associations between baseline plasma proteomic Olink biomarkers and clinical outcomes in 3 independent observational HFpEF cohorts (n = 86, n = 216, and n = 242). These profiles were then compared with the biomarker profiles discriminating patients treated with active drug vs placebo in SATELLITE (Safety and Tolerability Study of AZD4831 in Patients With Heart Failure), a double-blind randomized 3-month trial evaluating safety and tolerability of the myeloperoxidase inhibitor AZD4831 in HFpEF (n = 41). Pathophysiological pathways were inferred from the biomarker profiles by interrogation of the Ingenuity Knowledge Database.

Results: TNF-R1, TRAIL-R2, GDF15, U-PAR, and ADM were the top individual biomarkers associated with heart failure hospitalization or death, and FABP4, HGF, RARRES2, CSTB, and FGF23 were associated with lower functional capacity and poorer quality of life. AZD4831 downregulated many markers (most significantly CDCP1, PRELP, CX3CL1, LIFR, VSIG2). There was remarkable consistency among pathways associated with clinical outcomes in the observational HFpEF cohorts, the top canonical pathways being associated with tumor microenvironments, wound healing signaling, and cardiac hypertrophy signaling. These pathways were predicted to be downregulated in AZD4831 relative to placebo-treated patients.

Conclusions: Biomarker pathways that were most strongly associated with clinical outcomes were also the ones reduced by AZD4831. These results support the further investigation of myeloperoxidase inhibition in HFpEF.


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Last updated on 2025-27-03 at 21:55